QA Automation Engineer with 4+ years in FinTech & lending domains, specializing in scalable quality
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QA Automation Engineer with 4.8+ years of experience in FinTech and lending domains, specializing in scalable quality engineering solutions for web, mobile, and API testing. Proficient in Selenium WebDriver, Java, TestNG, BDD, and Hybrid Frameworks (POM + Data-Driven). Experienced in API automation using Rest Assured and Postman with strong backend validation and test data management using MySQL. Achieved 40% reduction in regression time, 50% decrease in manual effort, and 85%+ automation coverage. Skilled in shift-left testing, test strategy, STLC, Agile/Scrum, CI/CD integration, defect life cycle management, and end-to-end quality assurance from test planning through release sign-off.
C.V. Raman Global University
Bachelor of Technology · Electrical Engineering
January 1, 2016 – January 1, 2020
LF2Peer Financial Services Pvt. Ltd.
QA Automation Engineer
March 1, 2023 – November 1, 2023
India
VVPL
QA Automation Engineer
May 1, 2022 – February 1, 2023
India
CapFront Technologies Pvt. Ltd.
QA Engineer
August 1, 2021 – April 1, 2022
India
Vaibhav Vyapaar Pvt. Ltd. (VVPL)
QA Automation Engineer
August 1, 2021 – Present
India
SDET- Manual & Automation Testing
QSpiders, Bengaluru
January 1, 2021 – Present
Java & SQL Certification
QSpiders, Bengaluru
January 1, 2021 – Present
Cultural Fit Analysis
The candidate's experience across multiple companies (VVPL, LF2Peer, CapFront) within the same domain (FinTech/lending) shows consistency and depth in a specific industry. Their involvement in mentoring and knowledge sharing suggests a collaborative mindset. The breadth of technical skills (Selenium, Java, RestAssured, CI/CD tools, MySQL) and exposure to different project types (web, mobile, API) indicates adaptability and a willingness to learn and apply diverse technologies, contributing positively to cultural fit in dynamic environments. The certifications in SDET and Java/SQL further demonstrate a commitment to continuous learning.
Soft Skills & Operational Fit
The candidate demonstrates strong leadership potential through mentoring junior engineers and leading defect analysis. Their experience in Agile/Scrum environments, sprint planning, and CI/CD integration indicates a good operational fit. The ability to reduce QA cycle time and improve automation coverage highlights a proactive and efficiency-driven approach. However, without specific psychometric or English test results, a deeper assessment of communication and collaboration soft skills is limited.